Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "71" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 72 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 70 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459888 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.857624 | -0.589296 | 0.451739 | 0.879898 | 1.322732 | 0.877510 | 1.047845 | 0.473012 | 0.7241 | 0.7240 | 0.3618 | nan | nan |
| 2459887 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.197700 | -0.386138 | 0.619501 | 0.708164 | 0.047144 | 0.459040 | 3.614918 | 0.851707 | 0.7085 | 0.7069 | 0.3743 | nan | nan |
| 2459886 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.131322 | -0.543496 | 0.538707 | 0.791484 | 1.349991 | 1.788820 | 1.140530 | 1.033606 | 0.7875 | 0.7705 | 0.3080 | nan | nan |
| 2459885 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.902654 | -0.322635 | 2.512872 | 2.244975 | 0.652709 | 0.431013 | 2.661665 | 0.622992 | 0.7572 | 0.7444 | 0.3282 | nan | nan |
| 2459884 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.950963 | -0.444525 | 0.470088 | 0.709745 | 1.353824 | 0.897870 | 1.693121 | 1.590506 | 0.7113 | 0.7018 | 0.3764 | nan | nan |
| 2459883 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.853293 | -0.146874 | 2.622310 | 2.244701 | 0.305542 | 0.232857 | 5.801839 | 5.574592 | 0.7093 | 0.7050 | 0.3692 | nan | nan |
| 2459882 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.791454 | -0.543288 | 2.689286 | 2.493257 | 0.189934 | 1.374785 | 1.605796 | 1.155669 | 0.7131 | 0.7074 | 0.3632 | nan | nan |
| 2459881 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.717978 | -0.458909 | 3.169987 | 1.955330 | 1.620379 | 0.236563 | 2.081726 | 2.063948 | 0.7445 | 0.7489 | 0.3186 | nan | nan |
| 2459880 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.181190 | -0.254598 | 3.234600 | 2.593897 | 0.298490 | -0.028986 | 4.019427 | 1.539271 | 0.7038 | 0.7059 | 0.3796 | nan | nan |
| 2459879 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.618258 | -0.399827 | 0.698804 | 0.929628 | 0.371902 | 1.209908 | 0.622150 | 0.750780 | 0.6919 | 0.6962 | 0.3922 | nan | nan |
| 2459878 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.525959 | -0.448755 | 3.889010 | 3.117703 | 0.895163 | 1.379818 | 9.536783 | 3.016019 | 0.6968 | 0.7045 | 0.3861 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.958691 | -0.174997 | 2.434388 | 2.716678 | 0.128042 | 0.848815 | 8.100216 | 2.316214 | 0.7152 | 0.6957 | 0.3829 | nan | nan |
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.441520 | -0.060439 | 3.141645 | 2.639169 | 1.313102 | 1.642241 | 0.094325 | 0.202056 | 0.7293 | 0.7256 | 0.3812 | nan | nan |
| 2459874 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 15.519001 | -0.179196 | 1.271528 | 1.133044 | 0.692646 | 1.371271 | 0.698135 | 1.342055 | 0.7152 | 0.6943 | 0.3750 | nan | nan |
| 2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.668281 | -0.231505 | 1.835850 | 1.533692 | 0.553772 | 0.618674 | 0.207565 | 0.114465 | 0.7271 | 0.7010 | 0.3629 | nan | nan |
| 2459872 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.231388 | -0.373657 | 2.425898 | 1.421250 | 1.591643 | 0.245353 | -0.289010 | 0.007875 | 0.7146 | 0.6970 | 0.3853 | nan | nan |
| 2459871 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.658639 | -0.290263 | 3.065064 | 2.016078 | 0.112384 | 1.199437 | 2.612836 | 0.221270 | 0.7206 | 0.6942 | 0.3789 | nan | nan |
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.064967 | -0.257774 | 2.749427 | 1.847210 | 4.425686 | 2.598194 | 1.053742 | 2.484994 | 0.7298 | 0.7107 | 0.3697 | nan | nan |
| 2459869 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.602251 | 0.243268 | 2.906336 | 1.801122 | 3.179037 | 1.177414 | 0.176364 | -0.125422 | 0.7363 | 0.7256 | 0.3636 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.592779 | -0.143079 | 3.969399 | 2.364782 | 0.127152 | 0.925846 | 0.626032 | 0.754839 | 0.7203 | 0.7022 | 0.3803 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.646035 | -0.571492 | 2.476399 | 1.596568 | 0.733761 | 0.689013 | 0.104168 | 0.502830 | 0.7324 | 0.7061 | 0.3805 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.701472 | -0.492969 | 2.470740 | 2.008704 | 1.375613 | 1.306609 | 0.412557 | -0.212759 | 0.7301 | 0.7082 | 0.3744 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.037257 | 0.057079 | 2.796300 | 1.369075 | 0.601514 | 1.540400 | 0.039691 | -0.602230 | 0.7475 | 0.7245 | 0.3485 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.616303 | -1.380963 | 7.465394 | -0.084366 | -0.172384 | -0.629946 | 0.432636 | 1.790742 | 0.7182 | 0.7022 | 0.3915 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.113825 | -0.993424 | 2.500205 | 0.352540 | 0.600975 | 2.402021 | 0.354768 | 0.016550 | 0.7103 | 0.6895 | 0.3877 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.980686 | -1.022457 | 8.422603 | 0.056223 | 1.122417 | -0.638614 | 0.479714 | 0.054406 | 0.6945 | 0.7252 | 0.3984 | nan | nan |
| 2459861 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.620183 | -0.619198 | 2.672637 | 0.652672 | 1.597291 | 1.414781 | -0.125256 | 0.305276 | 0.7226 | 0.7056 | 0.3961 | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.492629 | -0.609447 | 7.980877 | 0.104701 | 1.971564 | 0.139246 | 0.099037 | 0.158478 | 0.7279 | 0.7040 | 0.3913 | nan | nan |
| 2459859 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.090654 | -0.696413 | 3.168367 | 0.758889 | 2.762945 | 0.890869 | 0.980521 | 0.566110 | 0.7303 | 0.7044 | 0.3931 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.347753 | -0.809368 | 3.274839 | 0.654002 | 4.660237 | 1.929175 | 0.246911 | 0.392637 | 0.7413 | 0.7127 | 0.4000 | 3.354470 | 2.666237 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.331940 | 0.716194 | 0.183691 | 0.039657 | -0.206555 | -0.901534 | -0.123510 | -0.113309 | 0.0255 | 0.0266 | 0.0006 | nan | nan |
| 2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 96.57% | -0.223759 | -0.824560 | 0.251967 | -1.076198 | -0.206480 | -1.153102 | -0.770481 | -0.519833 | 0.7343 | 0.7284 | 0.3899 | 14.715837 | 12.623089 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 95.42% | -0.096351 | -0.321615 | 0.342914 | -1.146165 | 0.509348 | -0.818353 | -0.227832 | 0.936904 | 0.7205 | 0.7421 | 0.4185 | 13.738406 | 14.296276 |
| 2459854 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 360.700941 | 360.936098 | inf | inf | 3780.149264 | 3646.388598 | 10121.228596 | 9680.451492 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 99.44% | -0.172393 | -0.902205 | -0.121582 | -0.727415 | -0.063215 | -0.969351 | -0.373525 | -0.056032 | 0.7550 | 0.7185 | 0.4126 | 14.638602 | 12.996487 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 91.35% | -0.293112 | -0.975728 | -0.004026 | -0.926836 | -0.231071 | -0.734389 | -0.646879 | -0.878426 | 0.8470 | 0.8551 | 0.2290 | 56.236551 | 54.877217 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 88.24% | -0.390909 | -0.666975 | -0.147759 | -0.701423 | -0.300772 | -1.771150 | -0.544783 | -0.982969 | 0.7808 | 0.7730 | 0.3197 | 15.099209 | 14.090612 |
| 2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 18.02% | 81.98% | -0.320662 | -0.702292 | -0.228998 | -0.779567 | 0.374860 | -1.231858 | -0.445826 | -0.542040 | 0.7611 | 0.7803 | 0.3401 | 12.476041 | 12.957250 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 83.33% | -0.408103 | -1.136536 | -0.601404 | -0.004101 | -0.399490 | -0.110185 | -0.351169 | -0.212781 | 0.7608 | 0.7733 | 0.3435 | 14.131954 | 13.556106 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 69.85% | -0.331539 | -0.705934 | -0.972796 | 0.145032 | 1.115676 | -1.245366 | -0.631327 | -0.696916 | 0.7397 | 0.7733 | 0.3680 | 11.687007 | 12.164893 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 96.79% | -0.191938 | -0.726527 | -0.967583 | -0.013203 | -0.059615 | -0.758538 | -0.515935 | -0.711666 | 0.7398 | 0.7143 | 0.4167 | 11.063132 | 11.073210 |
| 2459846 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 33.33% | 66.67% | -0.518460 | -1.037784 | -0.674699 | 0.257493 | -1.122219 | -0.616805 | -0.603522 | -0.498896 | 0.8536 | 0.7177 | 0.4465 | 11.496152 | 7.932338 |
| 2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 83.98% | -0.227829 | -0.784062 | -0.573537 | 1.419512 | 0.055493 | -0.330809 | -0.616525 | -1.278998 | 0.7453 | 0.7683 | 0.3715 | 6.965322 | 1.542130 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.930827 | 2.202295 | -0.729193 | -0.499534 | 0.363286 | -0.206158 | -0.414141 | -0.888864 | 0.0254 | 0.0274 | 0.0012 | nan | nan |
| 2459843 | digital_ok | 0.00% | 0.66% | 0.66% | 0.00% | 15.22% | 84.24% | -0.074039 | -0.361707 | -1.195611 | -0.659554 | -0.535225 | -0.952227 | -0.440991 | 0.278577 | 0.7535 | 0.7665 | 0.3808 | 14.401003 | 14.115862 |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 3.696035 | -0.048183 | -0.284804 | 0.222733 | -0.665993 | -0.693998 | 0.046016 | -0.128424 | 0.0235 | 0.0232 | 0.0009 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 0.265663 | -1.029719 | -0.607648 | 1.016842 | -0.720534 | -1.277180 | 0.036926 | -0.503953 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 43.311813 | 124.180484 | 53.093704 | 81.377069 | 39.563779 | 100.256708 | 313.314541 | 811.218503 | 0.0171 | 0.0163 | 0.0006 | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0395 | 0.0429 | 0.0112 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.247278 | 0.277100 | 0.465180 | 0.685258 | 1.028009 | 1.822607 | -0.166935 | -0.693650 | 0.0406 | 0.0456 | 0.0136 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.636223 | 1.362387 | -0.959252 | -0.705614 | 2.061421 | 0.283406 | -0.041900 | -0.843769 | 0.0413 | 0.0529 | 0.0115 | nan | nan |
| 2459832 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.301393 | -0.056304 | -0.793682 | -0.530420 | -0.378915 | -0.941096 | -0.274729 | -0.418640 | 0.0869 | 0.0834 | 0.0147 | 1.198814 | 1.203253 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.258300 | 2.084997 | -0.703593 | 0.829564 | -1.109888 | -1.405269 | 0.241027 | -0.146848 | 0.0452 | 0.0362 | 0.0022 | nan | nan |
| 2459830 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.617604 | -0.458540 | -0.939213 | -0.525633 | 1.622549 | -1.102282 | -0.286602 | -0.446523 | 0.0837 | 0.0827 | 0.0146 | 1.235441 | 1.234946 |
| 2459829 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.001709 | 0.001709 | -0.905252 | -0.717591 | -0.044571 | 1.639768 | 0.380920 | 0.969846 | 0.0864 | 0.0813 | 0.0128 | -0.000000 | -0.000000 |
| 2459828 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.629962 | -0.367974 | -0.844709 | -0.793633 | 0.792327 | -0.902544 | -0.366707 | 0.001930 | 0.0816 | 0.0786 | 0.0120 | 1.295633 | 1.281942 |
| 2459827 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.393564 | -0.212024 | -0.818932 | 0.152182 | 0.003568 | 0.039676 | -0.653146 | -0.711716 | 0.0872 | 0.0834 | 0.0133 | 1.202621 | 1.202971 |
| 2459826 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.676299 | -0.432358 | -0.771119 | 0.111116 | 2.345571 | -0.892563 | -0.386671 | 0.172118 | 0.0674 | 0.0546 | 0.0050 | 0.948102 | 0.955810 |
| 2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.886577 | -0.464551 | -0.497715 | -0.683818 | -0.017221 | -0.843593 | -0.771774 | -0.776426 | 0.0831 | 0.0829 | 0.0153 | 1.237017 | 1.225016 |
| 2459824 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.033956 | 0.100230 | -0.574889 | -0.416084 | 1.196172 | -1.226309 | -0.385505 | -0.189098 | 0.0980 | 0.1017 | 0.0184 | 1.254416 | 1.256060 |
| 2459823 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.211216 | -0.310490 | -0.087638 | -0.426247 | -0.638842 | -0.260488 | 1.932679 | 8.126819 | 0.0889 | 0.0889 | 0.0153 | 1.189927 | 1.194340 |
| 2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.505317 | -0.471364 | -0.787439 | -0.437131 | 0.419871 | -0.532417 | -0.385653 | -0.630788 | 0.0807 | 0.0838 | 0.0090 | 1.174760 | 1.176978 |
| 2459821 | digital_ok | 0.00% | 11.29% | 11.29% | 0.00% | 13.16% | 86.84% | 1.304874 | 0.024679 | -0.804622 | -0.105957 | -1.074701 | -0.861558 | -1.234980 | -0.247088 | 0.7377 | 0.6236 | 0.4095 | 16.464063 | 14.035217 |
| 2459820 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 96.79% | -0.011754 | -0.487382 | -0.938250 | -0.582620 | 1.340505 | 1.787809 | -0.472849 | 0.022100 | 0.7898 | 0.7269 | 0.3811 | 17.257329 | 25.539201 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.988486 | -0.984864 | -0.716940 | -0.605681 | -1.104759 | -1.144457 | -0.630770 | -0.709467 | 0.8361 | 0.7282 | 0.4628 | 16.961869 | 12.085221 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.349427 | -0.133988 | -0.498314 | -0.800990 | -0.536328 | -0.697703 | -0.011670 | 2.644135 | 0.8509 | 0.6426 | 0.5489 | 16.294652 | 14.036255 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.769695 | -1.063788 | -0.257856 | -0.767497 | 0.325083 | -0.797740 | -0.303506 | 0.295587 | 0.8338 | 0.7355 | 0.4737 | 39.477257 | 22.351573 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 47.06% | -0.099731 | -0.903411 | -1.015851 | -0.720246 | 0.342186 | 2.606540 | 0.085345 | 0.696452 | 0.8083 | 0.7652 | 0.3711 | 15.921002 | 9.083299 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 6.857624 | -0.589296 | 6.857624 | 0.879898 | 0.451739 | 0.877510 | 1.322732 | 0.473012 | 1.047845 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 7.197700 | -0.386138 | 7.197700 | 0.708164 | 0.619501 | 0.459040 | 0.047144 | 0.851707 | 3.614918 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 10.131322 | 10.131322 | -0.543496 | 0.538707 | 0.791484 | 1.349991 | 1.788820 | 1.140530 | 1.033606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 10.902654 | -0.322635 | 10.902654 | 2.244975 | 2.512872 | 0.431013 | 0.652709 | 0.622992 | 2.661665 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 6.950963 | -0.444525 | 6.950963 | 0.709745 | 0.470088 | 0.897870 | 1.353824 | 1.590506 | 1.693121 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 8.853293 | -0.146874 | 8.853293 | 2.244701 | 2.622310 | 0.232857 | 0.305542 | 5.574592 | 5.801839 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 14.791454 | -0.543288 | 14.791454 | 2.493257 | 2.689286 | 1.374785 | 0.189934 | 1.155669 | 1.605796 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 8.717978 | -0.458909 | 8.717978 | 1.955330 | 3.169987 | 0.236563 | 1.620379 | 2.063948 | 2.081726 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 10.181190 | -0.254598 | 10.181190 | 2.593897 | 3.234600 | -0.028986 | 0.298490 | 1.539271 | 4.019427 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 5.618258 | -0.399827 | 5.618258 | 0.929628 | 0.698804 | 1.209908 | 0.371902 | 0.750780 | 0.622150 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Discontinuties | 9.536783 | -0.448755 | 9.525959 | 3.117703 | 3.889010 | 1.379818 | 0.895163 | 3.016019 | 9.536783 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 9.958691 | 9.958691 | -0.174997 | 2.434388 | 2.716678 | 0.128042 | 0.848815 | 8.100216 | 2.316214 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 11.441520 | 11.441520 | -0.060439 | 3.141645 | 2.639169 | 1.313102 | 1.642241 | 0.094325 | 0.202056 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 15.519001 | 15.519001 | -0.179196 | 1.271528 | 1.133044 | 0.692646 | 1.371271 | 0.698135 | 1.342055 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 11.668281 | 11.668281 | -0.231505 | 1.835850 | 1.533692 | 0.553772 | 0.618674 | 0.207565 | 0.114465 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 11.231388 | -0.373657 | 11.231388 | 1.421250 | 2.425898 | 0.245353 | 1.591643 | 0.007875 | -0.289010 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 8.658639 | -0.290263 | 8.658639 | 2.016078 | 3.065064 | 1.199437 | 0.112384 | 0.221270 | 2.612836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 14.064967 | 14.064967 | -0.257774 | 2.749427 | 1.847210 | 4.425686 | 2.598194 | 1.053742 | 2.484994 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 11.602251 | 11.602251 | 0.243268 | 2.906336 | 1.801122 | 3.179037 | 1.177414 | 0.176364 | -0.125422 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 12.592779 | 12.592779 | -0.143079 | 3.969399 | 2.364782 | 0.127152 | 0.925846 | 0.626032 | 0.754839 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 9.646035 | 9.646035 | -0.571492 | 2.476399 | 1.596568 | 0.733761 | 0.689013 | 0.104168 | 0.502830 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 10.701472 | -0.492969 | 10.701472 | 2.008704 | 2.470740 | 1.306609 | 1.375613 | -0.212759 | 0.412557 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 12.037257 | 12.037257 | 0.057079 | 2.796300 | 1.369075 | 0.601514 | 1.540400 | 0.039691 | -0.602230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 11.616303 | -1.380963 | 11.616303 | -0.084366 | 7.465394 | -0.629946 | -0.172384 | 1.790742 | 0.432636 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 8.113825 | 8.113825 | -0.993424 | 2.500205 | 0.352540 | 0.600975 | 2.402021 | 0.354768 | 0.016550 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Power | 8.422603 | 7.980686 | -1.022457 | 8.422603 | 0.056223 | 1.122417 | -0.638614 | 0.479714 | 0.054406 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 5.620183 | -0.619198 | 5.620183 | 0.652672 | 2.672637 | 1.414781 | 1.597291 | 0.305276 | -0.125256 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Power | 7.980877 | 6.492629 | -0.609447 | 7.980877 | 0.104701 | 1.971564 | 0.139246 | 0.099037 | 0.158478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 5.090654 | 5.090654 | -0.696413 | 3.168367 | 0.758889 | 2.762945 | 0.890869 | 0.980521 | 0.566110 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 5.347753 | -0.809368 | 5.347753 | 0.654002 | 3.274839 | 1.929175 | 4.660237 | 0.392637 | 0.246911 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Shape | 0.716194 | 0.716194 | -0.331940 | 0.039657 | 0.183691 | -0.901534 | -0.206555 | -0.113309 | -0.123510 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Power | 0.251967 | -0.223759 | -0.824560 | 0.251967 | -1.076198 | -0.206480 | -1.153102 | -0.770481 | -0.519833 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | 0.936904 | -0.321615 | -0.096351 | -1.146165 | 0.342914 | -0.818353 | 0.509348 | 0.936904 | -0.227832 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | inf | 360.936098 | 360.700941 | inf | inf | 3646.388598 | 3780.149264 | 9680.451492 | 10121.228596 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | -0.056032 | -0.902205 | -0.172393 | -0.727415 | -0.121582 | -0.969351 | -0.063215 | -0.056032 | -0.373525 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Power | -0.004026 | -0.293112 | -0.975728 | -0.004026 | -0.926836 | -0.231071 | -0.734389 | -0.646879 | -0.878426 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Power | -0.147759 | -0.390909 | -0.666975 | -0.147759 | -0.701423 | -0.300772 | -1.771150 | -0.544783 | -0.982969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 0.374860 | -0.320662 | -0.702292 | -0.228998 | -0.779567 | 0.374860 | -1.231858 | -0.445826 | -0.542040 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | -0.004101 | -0.408103 | -1.136536 | -0.601404 | -0.004101 | -0.399490 | -0.110185 | -0.351169 | -0.212781 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 1.115676 | -0.705934 | -0.331539 | 0.145032 | -0.972796 | -1.245366 | 1.115676 | -0.696916 | -0.631327 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | -0.013203 | -0.726527 | -0.191938 | -0.013203 | -0.967583 | -0.758538 | -0.059615 | -0.711666 | -0.515935 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | 0.257493 | -0.518460 | -1.037784 | -0.674699 | 0.257493 | -1.122219 | -0.616805 | -0.603522 | -0.498896 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | 1.419512 | -0.784062 | -0.227829 | 1.419512 | -0.573537 | -0.330809 | 0.055493 | -1.278998 | -0.616525 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Shape | 2.202295 | -0.930827 | 2.202295 | -0.729193 | -0.499534 | 0.363286 | -0.206158 | -0.414141 | -0.888864 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | 0.278577 | -0.361707 | -0.074039 | -0.659554 | -1.195611 | -0.952227 | -0.535225 | 0.278577 | -0.440991 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 3.696035 | 3.696035 | -0.048183 | -0.284804 | 0.222733 | -0.665993 | -0.693998 | 0.046016 | -0.128424 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Power | 1.016842 | -1.029719 | 0.265663 | 1.016842 | -0.607648 | -1.277180 | -0.720534 | -0.503953 | 0.036926 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | 811.218503 | 124.180484 | 43.311813 | 81.377069 | 53.093704 | 100.256708 | 39.563779 | 811.218503 | 313.314541 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Variability | 1.822607 | 0.277100 | 0.247278 | 0.685258 | 0.465180 | 1.822607 | 1.028009 | -0.693650 | -0.166935 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 2.061421 | 1.362387 | -0.636223 | -0.705614 | -0.959252 | 0.283406 | 2.061421 | -0.843769 | -0.041900 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 0.301393 | 0.301393 | -0.056304 | -0.793682 | -0.530420 | -0.378915 | -0.941096 | -0.274729 | -0.418640 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Shape | 2.084997 | 1.258300 | 2.084997 | -0.703593 | 0.829564 | -1.109888 | -1.405269 | 0.241027 | -0.146848 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 1.622549 | 0.617604 | -0.458540 | -0.939213 | -0.525633 | 1.622549 | -1.102282 | -0.286602 | -0.446523 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Variability | 1.639768 | 0.001709 | -0.001709 | -0.717591 | -0.905252 | 1.639768 | -0.044571 | 0.969846 | 0.380920 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 0.792327 | -0.367974 | 0.629962 | -0.793633 | -0.844709 | -0.902544 | 0.792327 | 0.001930 | -0.366707 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 0.393564 | 0.393564 | -0.212024 | -0.818932 | 0.152182 | 0.003568 | 0.039676 | -0.653146 | -0.711716 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 2.345571 | -0.432358 | 0.676299 | 0.111116 | -0.771119 | -0.892563 | 2.345571 | 0.172118 | -0.386671 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 0.886577 | -0.464551 | 0.886577 | -0.683818 | -0.497715 | -0.843593 | -0.017221 | -0.776426 | -0.771774 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Temporal Variability | 1.196172 | 0.033956 | 0.100230 | -0.574889 | -0.416084 | 1.196172 | -1.226309 | -0.385505 | -0.189098 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | 8.126819 | -0.310490 | 1.211216 | -0.426247 | -0.087638 | -0.260488 | -0.638842 | 8.126819 | 1.932679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 1.505317 | 1.505317 | -0.471364 | -0.787439 | -0.437131 | 0.419871 | -0.532417 | -0.385653 | -0.630788 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 1.304874 | 0.024679 | 1.304874 | -0.105957 | -0.804622 | -0.861558 | -1.074701 | -0.247088 | -1.234980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Variability | 1.787809 | -0.011754 | -0.487382 | -0.938250 | -0.582620 | 1.340505 | 1.787809 | -0.472849 | 0.022100 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 0.988486 | 0.988486 | -0.984864 | -0.716940 | -0.605681 | -1.104759 | -1.144457 | -0.630770 | -0.709467 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Discontinuties | 2.644135 | -0.133988 | 0.349427 | -0.800990 | -0.498314 | -0.697703 | -0.536328 | 2.644135 | -0.011670 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | ee Shape | 0.769695 | -1.063788 | 0.769695 | -0.767497 | -0.257856 | -0.797740 | 0.325083 | 0.295587 | -0.303506 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | N04 | digital_ok | nn Temporal Variability | 2.606540 | -0.903411 | -0.099731 | -0.720246 | -1.015851 | 2.606540 | 0.342186 | 0.696452 | 0.085345 |